Publications (21)
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles
Ruoqi Wen, Jiahao Huang, Rongpeng Li +2
Autonomous Vehicles (AVs) have attracted significant attention in recent years and Reinforcement Learning (RL) has shown remarkable performance in improving the autonomy of vehicle…
Network-Connected UAV Communications: Potentials and Challenges
Haichao Wang, Jinlong Wang, Jin Chen +2
This article explores the use of network-connected unmanned aerial vehicle (UAV) communications as a compelling solution to achieve high-rate information transmission and support u…
Cellular-Base-Station Assisted Device-to-Device Communications in TV White Space
Guoru Ding, Jinlong Wang, Qihui Wu +3
This paper presents a systematic approach to exploit TV white space (TVWS) for device-to-device (D2D) communications with the aid of the existing cellular infrastructure. The goal…
Unmanned Aerial Vehicle-Aided Communications: Joint Transmit Power and Trajectory Optimization
Haichao Wang, Guochun Ren, Jin Chen +2
This letter investigates the transmit power and trajectory optimization problem for unmanned aerial vehicle (UAV)-aided networks. Different from majority of the existing studies wi…
Abnormal Signal Recognition with Time-Frequency Spectrogram: A Deep Learning Approach
Tingyan Kuang, Huichao Chen, Lu Han +3
With the increasingly complex and changeable electromagnetic environment, wireless communication systems are facing jamming and abnormal signal injection, which significantly affec…
AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching
Jianhang Zhu, Rongpeng Li, Guoru Ding +4
Along with the fast development of network technology and the rapid growth of network equipment, the data throughput is sharply increasing. To handle the problem of backhaul bottle…
Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics
Hongmei Wang, Zhenzhen Wu, Shuai Ma +4
In this paper, we investigate deep learning (DL)-enabled signal demodulation methods and establish the first open dataset of real modulated signals for wireless communication syste…
Edge Semantic Cognitive Intelligence for 6G Networks: Novel Theoretical Models, Enabling Framework, and Typical Applications
Peihao Dong, Qihui Wu, Xiaofei Zhang +1
Edge intelligence is anticipated to underlay the pathway to connected intelligence for 6G networks, but the organic confluence of edge computing and artificial intelligence still n…
Cognitive Internet of Things: A New Paradigm beyond Connection
Qihui Wu, Guoru Ding, Yuhua Xu +4
Current research on Internet of Things (IoT) mainly focuses on how to enable general objects to see, hear, and smell the physical world for themselves, and make them connected to s…
3D Spectrum Mapping Based on ROI-Driven UAV Deployment
Qihui Wu, Feng Shen, Zheng Wang +1
Given the explosive growth of Internet of Things (IoT) devices ranging from the two-dimensional (2D) ground to the three-dimensional (3D) space, it is a necessity to establish a 3D…
Spectrum Sensing under Spectrum Misuse Behaviors: A Multi-Hypothesis Test Perspective
Linyuan Zhang, Guoru Ding, Qihui Wu +1
Spectrum misuse behaviors, brought either by illegitimate access or by rogue power emission, endanger the legitimate communication and deteriorate the spectrum usage environment. I…
On the Limits of Predictability in Real-World Radio Spectrum State Dynamics: From Entropy Theory to 5G Spectrum Sharing
Guoru Ding, Jinlong Wang, Qihui Wu +4
A range of applications in cognitive radio networks, from adaptive spectrum sensing to predictive spectrum mobility and dynamic spectrum access, depend on our ability to foresee th…
Spectrum Prediction With Deep 3D Pyramid Vision Transformer Learning
Guangliang Pan, Qihui Wu, Bo Zhou +4
In this paper, we propose a deep learning (DL)-based task-driven spectrum prediction framework, named DeepSPred. The DeepSPred comprises a feature encoder and a task predictor, whe…
An Edge Computing Paradigm for Massive IoT Connectivity over High-Altitude Platform Networks
Malong Ke, Zhen Gao, Yang Huang +4
With the advent of the Internet-of-Things (IoT) era, the ever-increasing number of devices and emerging applications have triggered the need for ubiquitous connectivity and more ef…
Byzantine Attack and Defense in Cognitive Radio Networks: A Survey
Linyuan Zhang, Guoru Ding, Qihui Wu +3
The Byzantine attack in cooperative spectrum sensing (CSS), also known as the spectrum sensing data falsification (SSDF) attack in the literature, is one of the key adversaries to…
Integrated Sensing and Covert Communication In Low-Altitude Networks: A Smart Radio Environment Perspective
Jianyu Wei, Haichao Wang, Laixian Peng +4
The rise of low-altitude economies and 6G is driving the evolution of low-altitude networks (LANs), making communication security a pressing concern. Unlike traditional security ap…
An Amateur Drone Surveillance System Based on Cognitive Internet of Things
Guoru Ding, Qihui Wu, Linyuan Zhang +3
Drones, also known as mini-unmanned aerial vehicles, have attracted increasing attention due to their boundless applications in communications, photography, agriculture, surveillan…
Big Data Analytics in Future Internet of Things
Guoru Ding, Long Wang, Qihui Wu
Current research on Internet of Things (IoT) mainly focuses on how to enable general objects to see, hear, and smell the physical world for themselves, and make them connected to s…
D2D Communications Underlaying Wireless Powered Communication Networks
Haichao Wang, Jinlong Wang, Guoru Ding +1
In this paper, we investigate the resource allocation problem for D2D communications underlaying wireless powered communication networks, where multiple D2D pairs harvest energy fr…
Big Spectrum Data: The New Resource for Cognitive Wireless Networking
Guoru Ding, Qihui Wu, Jinlong Wang +1
The era of Big Data is here now, which has brought both unprecedented opportunities and critical challenges. In this article, from a perspective of cognitive wireless networking, w…
Power Control in UAV-Supported Ultra Dense Networks: Communications, Caching, and Energy Transfer
Haichao Wang, Guoru Ding, Feifei Gao +3
By means of network densification, ultra dense networks (UDNs) can efficiently broaden the network coverage and enhance the system throughput. In parallel, unmanned aerial vehicles…